Corpus ID: 4358438

Correcting differences in multi-site neuroimaging data using Generative Adversarial Networks

@article{Nguyen2018CorrectingDI,
  title={Correcting differences in multi-site neuroimaging data using Generative Adversarial Networks},
  author={Harrison Nguyen and Richard W. Morris and Anthony W. Harris and Mayuresh S. Korgoankar and F. Ramos},
  journal={arXiv: Computer Vision and Pattern Recognition},
  year={2018}
}
  • Harrison Nguyen, Richard W. Morris, +2 authors F. Ramos
  • Published 2018
  • Computer Science
  • arXiv: Computer Vision and Pattern Recognition
  • Magnetic Resonance Imaging (MRI) of the brain has been used to investigate a wide range of neurological disorders, but data acquisition can be expensive, time-consuming, and inconvenient. Multi-site studies present a valuable opportunity to advance research by pooling data in order to increase sensitivity and statistical power. However images derived from MRI are susceptible to both obvious and non-obvious differences between sites which can introduce bias and subject variance, and so reduce… CONTINUE READING

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